Python | Pandas TimedeltaIndex.nunique
Last Updated :
28 Dec, 2018
Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
Pandas TimedeltaIndex.nunique()
function return number of unique elements in the object. It excludes NA values by default.
Syntax : TimedeltaIndex.nunique()
Parameters :
dropna : Don’t include NaN in the count
Return : nunique : int
Example #1: Use TimedeltaIndex.nunique()
function to find the number of unique values in the given TimedeltaIndex object.
import pandas as pd
tidx = pd.TimedeltaIndex(data = [ '06:05:01.000030' , None , '22 day 2 min 3us 10ns' ,
'+23:59:59.999999' , None , '+12:19:59.999999' ])
print (tidx)
|
Output :
Now we will use the TimedeltaIndex.nunique()
function to find the number of unique values in the tidx object.
Output :
As we can see in the output, the TimedeltaIndex.nunique()
function has returned the total number of unique values in the tidx object.
Example #2: Use TimedeltaIndex.nunique()
function to find the number of unique values in the given TimedeltaIndex object.
import pandas as pd
tidx = pd.TimedeltaIndex(data = [ None , '1 days 06:05:01.000030' , None ,
'1 days 02:00:00' , '21 days 06:15:01.000030' ])
print (tidx)
|
Output :
Now we will use the TimedeltaIndex.nunique()
function to find the number of unique values in the tidx object.
Output :
As we can see in the output, the TimedeltaIndex.nunique()
function has returned the total number of unique values in the tidx object.
Share your thoughts in the comments
Please Login to comment...